International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 7 Issue 4
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Artificial Intelligence in Employee Development: Importance, Challenges & Opportunities

Author(s) Ms. Ravina Lamba, Dr. Sakshi Chouhan
Country India
Abstract Modern organizations are experiencing a revolution driven by artificial intelligence (AI), which enhances creativity and efficiency in employee development plans. This study investigates how AI can improve worker skills, encourage lifelong learning, and align workforce capabilities with company objectives. The history of AI in employee development dates back to the early computer-based training programs of the 1960s, evolving into today's sophisticated AI-driven learning management systems. By offering personalized learning pathways, real-time performance feedback, and career development suggestions, AI technologies—such as machine learning, natural language processing (NLP), and predictive analytics—are reshaping personnel management. Employing AI in employee development seeks to optimize learning experiences, boost employee engagement, and provide cost-effective training solutions. The study also emphasizes significant benefits, including increased productivity, scalable training programs, and data-driven insights for skill gap analysis. Nevertheless, challenges persist, including concerns about algorithmic bias, data privacy, and high implementation costs. Ethical considerations, such as addressing fears of job displacement and ensuring transparency in AI decision-making, are essential. Despite these hurdles, AI holds undeniable potential to cultivate a highly skilled and adaptable workforce. While AI presents numerous advantages, this study concludes that successful employee development in modern companies necessitates a balanced approach that merges technological innovation with human-centric strategies.
Keywords Artificial Intelligence (AI), Employee Development, Workforce Skills, Lifelong Learning, Machine Learning.
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-25
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.51537
Short DOI https://doi.org/g9vpgt
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